Mulai

Statistics

Adaptive FoS LibraryThis library provides Adaptive Functions that I use in my scripts. For calculations, I use the max_bars_back function with a fixed length of 200 bars to prevent errors when a script tries to access data beyond its available history. This is a key difference from most other adaptive libraries — if you don’t need it, you don’t have to use it. Some of the adaptive length functions are normalized. In addition to the adaptive length functions, this library includes various methods for calculating moving averages, normalized differences between fast and slow MA's, as well as several normalized oscillators.
Perpustakaan Pine Script®
oleh RGtrue
RotationSUITE [BitAura]𝐑otation𝑺𝑼𝑰𝑻𝑬 This Pine Script® indicator is a dynamic, multi-asset rotation system designed to optimize portfolio allocation by selecting the strongest-performing cryptocurrency from a user-defined basket of up to four assets, with USD as a cash position. By leveraging two complementary relative strength strategies and a proprietary Confidence Score, the system adapts to changing market conditions to aim for superior risk-adjusted returns compared to a buy-and-hold approach. Logic and Core Concepts The system’s goal is to allocate capital to the strongest asset at any given time, dynamically switching between two strategies based on market conditions: 1. Ratios System (Primary Strategy) Mechanism : Performs relative strength analysis by evaluating the trend of each asset pair (e.g., BTCUSD/ETHUSD, BTCUSD/SOLUSD) using a universal trend-capturing function. Scoring : Each asset earns points based on how many other assets (including USD) it outperforms. Allocation : Allocates 100% of the portfolio to the asset with the highest score, following a "long the strongest" approach. 2. Alpha System (Defensive Strategy) Mechanism : Measures each asset’s alpha (excess return relative to market risk, or beta) against a broad market benchmark. A fast trend-following model confirms momentum. Allocation : Allocates to the asset with the highest positive alpha and confirmed momentum, or to USD if no asset meets the criteria. 3. Confidence Score (Decision Engine) Monitors the Ratios System’s performance. High Confidence : Uses the Ratios System for allocation during strong trends. Low Confidence : Switches to the Alpha System or USD during choppy or corrective markets. Features Dynamic Strategy Switching : Seamlessly transitions between Ratios and Alpha systems based on the Confidence Score. Customizable Asset Basket : Supports up to four user-defined crypto assets (e.g., INDEX:BTCUSD , INDEX:ETHUSD , CRYPTO:SOLUSD , CRYPTO:SUIUSD ). Comprehensive Visuals : Performance Metrics Table : Displays Sharpe, Sortino, Omega, Max Drawdown, and Profit Factor for the system, its sub-strategies, and individual assets’ buy-and-hold performance. Rotation Matrix : Shows pairwise trend scores for the Ratios System and alpha/trend data for the Alpha System. Allocation Table : Indicates the current portfolio allocation (in %). Equity Curve Analysis : Plots equity curves for the system, sub-strategies, and buy-and-hold for comparison. Configurable Alerts : Notifies users of changes in allocation or Confidence Score. Pine Script v6 : Utilizes advanced features like matrices and table formatting for enhanced usability. How to Use Add to Chart : Apply the indicator to any chart (the chart’s ticker does not affect calculations). Configure Assets : In the settings ( Inputs -> Majors Rotation System Tickers ), define up to four crypto assets. Defaults include INDEX:BTCUSD , INDEX:ETHUSD , CRYPTO:SOLUSD , and CRYPTO:SUIUSD . Set Allocation Type : Choose Aggressive (100% to top asset), Moderate (80/20 split), or Conservative (60/40 split) in the settings. Monitor Output : The Portfolio Allocations table shows the current allocation. Use the Performance Metrics and Rotation Matrix tables for deeper insights. Analyze Equity : Enable equity curve plots in the settings to visualize performance. Set Alerts : Right-click a plot, select "Add alert," and choose "Confidence Score changed" or "Calculated Portfolio Allocations Changed" to receive notifications. The system uses robust trend and alpha functions, tested across various timeframes (4h, 8h, 12h) and asset pools to ensure reliability. Notes The script is closed-source Ensure the chart uses a standard price series (not Heikin Ashi or other non-standard types) for accurate results. The script avoids lookahead bias by using barmerge.lookahead_off in request.security() calls. Performance metrics are calculated only on the last confirmed bar to optimize runtime efficiency. Disclaimer : This script is for educational and analytical purposes only and does not constitute financial advice. Trading involves significant risk, and past performance is not indicative of future results. Always conduct your own research and apply proper risk management.
Indikator Pine Script®
oleh BitAura
Trade Holding Time Background HighlighterTrade Holding Time Background Highlighter This script visually highlights the chart background based on how old each bar is relative to the current time. It’s designed for crypto futures traders (and other active traders) who want to quickly see whether price action falls inside a day trading window, a swing trading window, or is considered older history. ⸻ 🔑 Features • Dynamic Background Highlighting • Day Trader Zone (default = last 24 hours, light green). • Swing Trader Zone (default = last 2 weeks, light yellow). • Older Zone (beyond 2 weeks, light gray). • Customizable Colors • Choose your own background colors for each zone. • Adjust opacity to make shading subtle or bold. • Adjustable Timeframes • Change day trading hours (default: 24 hours). • Change swing trading window (default: 14 days). • Simple, Intuitive Design • Instantly see whether the current market structure is suitable for scalps/day trades, swing trades, or simply part of older price action. ⸻ 🎯 Why Use This? As a futures/perpetual trader, knowing the context of price action is crucial: • Scalpers/Day Traders focus on the most recent 24h. • Swing Traders look back 1–2 weeks. • Anything older often has less weight for short-term setups. This script highlights those zones automatically, saving you time and giving clarity on whether you’re trading inside a fresh opportunity window or old, less relevant price action.
Indikator Pine Script®
oleh marktan93
Daily SMA200 Distance – Percentile Zones PROIndicator Description — Weekly/Daily SMA200 Distance – Percentile Zones The SMA200 Distance – Percentile Zones indicator measures the percentage distance between the price and its 200-period Simple Moving Average (SMA200), and classifies it into historical percentile zones. This tool helps traders and investors understand the market context of an asset relative to its long-term trend: Cheap Zone (< P25): price at historically low levels compared to SMA200. Value Zone (P25–P50): neutral range, where price trades around its long-term average. Acceptable Zone (P50–P65): moderately high levels, still reasonable within an uptrend. Not Recommended Zone (P65–P76): overextended territory, with increasing correction risk. Very Expensive Zone (≥ P76): extreme levels, historically linked to overvaluation and potential market tops. Percentiles are calculated dynamically from the entire historical dataset (since the SMA200 becomes available), providing a robust and objective statistical framework for decision-making. ✅ In summary: This indicator works as a quantitative valuation map — showing whether the asset is cheap, fairly valued, acceptable, risky, or very expensive relative to its historical behavior against the SMA200.
Indikator Pine Script®
oleh ed_andresdl
High Probability Order Blocks [AlgoAlpha]🟠 OVERVIEW This script detects and visualizes high-probability order blocks by combining a volatility-based z-score trigger with a statistical survival model inspired by Kaplan-Meier estimation. It builds and manages bullish and bearish order blocks dynamically on the chart, displays live survival probabilities per block, and plots optional rejection signals. What makes this tool unique is its use of historical mitigation behavior to estimate and plot how likely each zone is to persist, offering traders a probabilistic perspective on order block strength—something rarely seen in retail indicators. 🟠 CONCEPTS Order blocks are regions of strong institutional interest, often marked by large imbalances between buying and selling. This script identifies those areas using z-score thresholds on directional distance (up or down candles), detecting statistically significant moves that signal potential smart money footprints. A bullish block is drawn when a strong up-move (zUp > 4) follows a down candle, and vice versa for bearish blocks. Over time, each block is evaluated: if price “mitigates” it (i.e., closes cleanly past the opposite side and confirmed with a 1 bar delay), it’s considered resolved and logged. These resolved blocks then inform a Kaplan-Meier-like survival curve, estimating the likelihood that future blocks of a given age will remain unbroken. The indicator then draws a probability curve for each side (bull/bear), updating it in real time. 🟠 FEATURES Live label inside each block showing survival probability or “N.E.D.” if insufficient data. Kaplan-Meier survival curves drawn directly on the chart to show estimated strength decay. Rejection markers (▲ ▼) if price bounces cleanly off an active order block. Alerts for zone creation and rejection signals, supporting rule-based trading workflows. 🟠 USAGE Read the label inside each block for Age | Survival% (or N.E.D. if there aren’t enough samples yet); higher survival % suggests blocks of that age have historically lasted longer. Use the right-side survival curves to gauge how probability decays with age for bull vs bear blocks, and align entries with the side showing stronger survival at current age. Treat ▲ (bullish rejection) and ▼ (bearish rejection) as optional confluence when price tests a boundary and fails to break. Turn on alerts for “Bullish Zone Created,” “Bearish Zone Created,” and rejection signals so you don’t need to watch constantly. If your chart gets crowded, enable Prevent Overlap ; tune Max Box Age to your timeframe; and adjust KM Training Window / Minimum Samples to trade off responsiveness vs stability.
Indikator Pine Script®
oleh AlgoAlpha
10
Stop Loss vs Take Profit Probability and EVThis stop loss and take profit calculator uses a Monte Carlo simulation to calculate the probability of hitting your Stop Loss or Take Profit levels across different time horizons (expressed in bars). It provides data-driven insights to optimize your risk management and position sizing by showing Expected Value for each scenario. As a quant, I love using statistical data to help my decisions and get better EV from my trades. 🔬 How It's Calculated Monte Carlo Simulation: Runs 1,000-10,000 price simulations using a random walk model Volatility Analysis: Combines ATR-based and Historical Volatility for accurate price movement modeling Expected Value: Calculates profit/loss expectation using formula: (TP_Probability × Reward) - (SL_Probability × Risk) Time Horizons: Tests multiple timeframes (1, 5, 10, 20, 50 bars) to find optimal holding periods Risk/Reward Ratios: Automatically calculates and displays R:R ratios for quick assessment 💡 Use Cases Position Sizing - Determine optimal risk per trade based on Expected Value Time Horizon Optimization - Find the best holding period for your strategy Stop Loss Placement - Validate SL levels using probability analysis Take Profit Optimization - Set TP levels with statistical backing Strategy Backtesting - Compare different R:R setups before entering trades Risk Management - Avoid trades with negative Expected Value Swing vs Day Trading - Choose timeframes with highest success probability 🎯 How to Use Setup Trade: Enter your entry price, stop loss, and take profit levels You can add or remove time horizons denominated in bars. Say you are looking at 1h candles, adding a 24-bar time horizon means you are looking into 24 hours Choose Direction: Select Long or Short position Review Table Analyze Expected Value: Focus on positive EV scenarios (green background) Optimize Timing: Select time horizons with best risk/reward profile Adjust Parameters: Modify volatility calculation method and simulation count if needed Examples Here's how you can read the tables. Example 1: In this chart, we are analyzing the TP and SL probabilities as well as the EV (expected value) for a stock. I want to check what the likelihood is that my SL and TP get triggered over the next 5 days. The stock market is open for 6.5 hours per day, which is 13 bars in this 30-minute bar chart. 26 bars is 2 days, 39 bars is 3 days and so on. Although this trade is more likely to trigger my SL than my TP, in some of the time horizons we have a positive expected value because of the risk/reward of our trade (i.e. distance of the SL and TP from the price) and the probability of hitting SL and TP. Example 2: In this example, we have applied the indicator to gold. Because the TP is much closer to the price, the probability of hitting the TP is much higher. We can also observe that the expected Value in the shorter time frames is better than in the longer ones. This can give us some clues to set up our trade. If we know that the EV is positive, we can allocate more to that specific trade. Enjoy, and please let me know your feedback! 😊🥂
Indikator Pine Script®
oleh HenriqueCentieiro
ETFs Sector PerformanceDisplays a table of the Top 8 performing ETFs over a selected period (1M / 2M / 3M / 6M) to quickly identify industry strength. Pre-Set Universe (39 ETFs) ITA — iShares U.S. Aerospace & Defense ETF DBA — Invesco DB Agriculture Fund BOTZ — Global X Robotics & Artificial Intelligence ETF JETS — U.S. Global Jets ETF XLB — Materials Select Sector SPDR Fund XBI — SPDR S&P Biotech ETF PKB — Invesco Dynamic Building & Construction ETF ICLN — iShares Global Clean Energy ETF SKYY — First Trust Cloud Computing ETF DBC — Invesco DB Commodity Index Tracking Fund XLY — Consumer Discretionary Select Sector SPDR Fund XLP — Consumer Staples Select Sector SPDR Fund BLOK — Amplify Transformational Data Sharing ETF KARS — KraneShares Electric Vehicles & Future Mobility ETF XLE — Energy Select Sector SPDR Fund ESPO — VanEck Video Gaming and eSports ETF XLF — Financial Select Sector SPDR Fund PBJ — Invesco Dynamic Food & Beverage ETF ITB — iShares U.S. Home Construction ETF XLI — Industrial Select Sector SPDR Fund PAVE — Global X U.S. Infrastructure Development ETF PEJ — Invesco Dynamic Leisure & Entertainment ETF LIT — Global X Lithium & Battery Tech ETF IHI — iShares U.S. Medical Devices ETF XME — SPDR S&P Metals & Mining ETF FCG — First Trust Natural Gas ETF URA — Global X Uranium ETF PPH — VanEck Pharmaceutical ETF QTUM — Defiance Quantum Computing & Machine Learning ETF IYR — iShares U.S. Real Estate ETF XRT — SPDR S&P Retail ETF SOXX — iShares Semiconductor ETF BOAT — SonicShares Global Shipping ETF IGV — iShares Expanded Tech-Software Sector ETF TAN — Invesco Solar ETF SLX — VanEck Steel ETF IYZ — iShares U.S. Telecommunications ETF IYT — iShares U.S. Transportation ETF XLU — Utilities Select Sector SPDR Fund
Indikator Pine Script®
oleh Al_Rasbi
IB BreakoutIt marks the IB range (high, low, midpoint) from a chosen session window (default 9:30–10:30). It plots the IB lines, midpoint (colored based on close), and extension levels (+/–25% and 50%). After the IB session ends, it looks for breakouts: Long if price closes above IB high. Short if price closes below IB low. Each trade targets the 25% extension in the breakout direction, with an optional stop at the opposite IB level. It limits the number of trades per day and displays info (trades, position, IB range, next target) in a table.
Strategi Pine Script®
oleh Seatheat
Theil-Sen Line Filter [BackQuant]Theil-Sen Line Filter A robust, median-slope baseline that tracks price while resisting outliers. Designed for the chart pane as a clean, adaptive reference line with optional candle coloring and slope-flip alerts. What this is A trend filter that estimates the underlying slope of price using a Theil-Sen style median of past slopes, then advances a baseline by a controlled fraction of that slope each bar. The result is a smooth line that reacts to real directional change while staying calm through noise, gaps, and single-bar shocks. Why Theil-Sen Classical moving averages are sensitive to outliers and shape changes. Ordinary least squares is sensitive to large residuals. The Theil-Sen idea replaces a single fragile estimate with the median of many simple slopes, which is statistically robust and less influenced by a few extreme bars. That makes the baseline steadier in choppy conditions and cleaner around regime turns. What it plots Filtered baseline that advances by a fraction of the robust slope each bar. Optional candle coloring by baseline slope sign for quick trend read. Alerts when the baseline slope turns up or down. How it behaves (high level) Looks back over a fixed window and forms many “current vs past” bar-to-bar slopes. Takes the median of those slopes to get a robust estimate for the bar. Optionally caps the magnitude of that per-bar slope so a single volatile bar cannot yank the line. Moves the baseline forward by a user-controlled fraction of the estimated slope. Lower fractions are smoother. Higher fractions are more responsive. Inputs and what they do Price Source — the series the filter tracks. Typical is close; HL2 or HLC3 can be smoother. Window Length — how many bars to consider for slopes. Larger windows are steadier and slower. Smaller windows are quicker and noisier. Response — fraction of the estimated slope applied each bar. 1.00 follows the robust slope closely; values below 1.00 dampen moves. Slope Cap Mode — optional guardrail on each bar’s slope: None — no cap. ATR — cap scales with recent true range. Percent — cap scales with price level. Points — fixed absolute cap in price points. ATR Length / Mult, Cap Percent, Cap Points — tune the chosen cap mode’s size. UI Settings — show or hide the line, paint candles by slope, choose long and short colors. How to read it Up-slope baseline and green candles indicate a rising robust trend. Pullbacks that do not flip the slope often resolve in trend direction. Down-slope baseline and red candles indicate a falling robust trend. Bounces against the slope are lower-probability until proven otherwise. Flat or frequent flips suggest a range. Increase window length or decrease response if you want fewer whipsaws in sideways markets. Use cases Bias filter — only take longs when slope is up, shorts when slope is down. It is a simple way to gate faster setups. Stop or trail reference — use the line as a trailing guide. If price closes beyond the line and the slope flips, consider reducing exposure. Regime detector — widen the window on higher timeframes to define major up vs down regimes for asset rotation or risk toggles. Noise control — enable a cap mode in very volatile symbols to retain the line’s continuity through event bars. Tuning guidance Quick swing trading — shorter window, higher response, optionally add a percent cap to keep it stable on large moves. Position trading — longer window, moderate response. ATR cap tends to scale well across cycles. Low-liquidity or gappy charts — prefer longer window and a points or ATR cap. That reduces jumpiness around discontinuities. Alerts included Theil-Sen Up Slope — baseline’s one-bar change crosses above zero. Theil-Sen Down Slope — baseline’s one-bar change crosses below zero. Strengths Robust to outliers through median-based slope estimation. Continuously advances with price rather than re-anchoring, which reduces lag at turns. User-selectable slope caps to tame shock bars without over-smoothing everything. Minimal visuals with optional candle painting for fast regime recognition. Notes This is a filter, not a trading system. It does not account for execution, spreads, or gaps. Pair it with entry logic, risk management, and higher-timeframe context if you plan to use it for decisions.
Indikator Pine Script®
oleh BackQuant
Supertrend [TradingConToto]Supertrend — ADX/DI + EMA Gap + Breakout (with Mobile UI) What makes it original Supertrend combines trend strength (ADX/DI), multi-timeframe bias (EMA63 and EMA 200D equivalent), a structural filter based on the distance between EMA2400 and EMA4800 expressed in ATR units, and a momentum confirmation through a previous high breakout. This is not a random mashup — it’s a sequence of filters designed to reduce trades in ranging markets and prioritize mature trends: Direction: +DI > -DI (trend led by buyers). Strength: ADX > mean(ADX) (avoids weak, choppy phases). Short-term bias: Close > EMA63. Long-term bias: Close > EMA4800 ≈ EMA200 daily on H1. Momentum: Close > High (immediate breakout). Structure: (EMA2400 − EMA4800) > k·ATR (ensures separation in ATR units, filters out flat phases). Entries & exits Entry: when all six conditions are met and no open position exists. Exit: if +DI < -DI or Close < EMA63. Visuals: EMA63 is painted green while in position and red otherwise, with a supertrend-style band; “BUY” labels appear below the green band and “SELL” labels above the red band. UI: includes a compact table (mobile-friendly) showing the state of each condition. Default parameters used in this publication Initial capital: 10,000 Position size: 10% of equity (≤10% per trade is considered sustainable). Commission: 0.01% per side (adjust to your broker/market). Slippage: 1 tick Pyramiding: 0 (only one position at a time) Adjust commission/slippage to match your market. For US equities, commissions are often per share; for spot crypto, 0.10–0.20% total is common. I publish with 0.01% per side as a conservative example to avoid overestimating results. Recommended backtest dataset Timeframe: H1 Multi-cycle window (e.g. 2015–today) Symbols with high liquidity (e.g. NASDAQ-100 large caps, or BTC/ETH spot) to generate 100+ trades. Avoid cherry-picked short windows. Why each filter matters +DI > -DI + ADX > mean: reduce counter-trend trades and weak signals. Close > EMA63 + Close > EMA4800: enforce trend alignment in short and long horizons. Breakout High : requires immediate momentum, avoids early entries. EMA gap in ATR units: blocks flat or compressed structures where EMA200D aligns with price. Limitations The breakout filter may skip healthy pullbacks; the design prioritizes continuation over perfect entry price. No fixed trailing stop/TP; exits depend on trend degradation via DI/EMA63. Results vary with real costs (commissions, slippage, funding). Adjust defaults to your broker. How to use Apply it on a clean chart (no other indicators when publishing). Keep in mind the default parameters above; if you change them, mention it in your notes and use the same values in the Strategy Tester. Ensure your dataset produces 100+ trades for statistical validity.
Strategi Pine Script®
oleh toto_scalper_23
1
Retail Sentiment Indicator - Multi-Asset CFD & Fear/Greed IndexRetail Sentiment Indicator - Multi-Asset CFD & Fear/Greed Index Overview The Retail Sentiment Indicator provides real-time sentiment data for major financial instruments including stocks, forex, commodities, and cryptocurrencies. This indicator displays retail trader positioning and market sentiment using CFD data and fear/greed indices. Methodology and Scale Calculation This indicator operates on a **-50 to +50 scale** with zero representing perfect market equilibrium. Scale Interpretation: - **Zero (0)**: Market balance - exactly 50% of investors buying, 50% selling - **Positive values**: Majority buying pressure - Example: If 63% of investors are buying, the indicator shows +13 (63 - 50 = +13) - **Negative values**: Majority selling pressure - Example: If 92% of investors are selling, the indicator shows -42 (50 - 92 = -42) BTC Fear & Greed Index Scaling: The original `BTC FEAR&GREED` index is natively scaled from 0-100 by its creator. In our indicator, this data has been rescaled to also fit the -50 to +50 range for consistency with other sentiment data sources. This unified scaling approach allows for direct comparison across all instruments and data sources within the indicator. -Important Data Source Selection- Bitcoin (BTC) Data Sources When viewing Bitcoin charts, the indicator offers **two different data sources**: 1. **Default Auto-Mode**: `BTCUSD Retail CFD` - Retail CFD traders sentiment data (automatically loaded). 2. **Manual Selection**: `BTC FEAR&GREED` - Fear & Greed Index from website: alternative dot me **To access BTC Fear & Greed Index**: Input settings -> disable checkbox "Auto-load Sentiment Data" -> manually select "BTC FEAR&GREED" from the dropdown menu. US Stock Market Data Sources For US stocks and indices (S&P 500, NASDAQ, Dow Jones), there are **two data source options**: 1. **Default Auto-Mode**: Individual retail CFD sentiment data for each instrument 2. **Manual Selection**: `SNN FEAR&GREED` - SNN's Fear & Greed Index covering the overall US market sentiment. SNN was used as the name to avoid any potential trademark infringement. **To access SNN Fear & Greed Index**: When viewing US market charts, disable in input settings checkbox "Auto-load Sentiment Data" and manually select "SNN FEAR&GREED" from the dropdown menu. This distinction allows traders to choose between **instrument-specific retail sentiment** (auto-mode) or **broader market sentiment indices** (manual selection). Features - **Auto-Detection**: Automatically loads sentiment data based on the current chart symbol - **Manual Selection**: Choose from 40+ supported instruments when auto-detection is unavailable - **Multiple Data Sources**: Combines retail CFD sentiment with Fear & Greed indices - **Visual Zones**: Clear greed/fear zones with color-coded backgrounds - **Real-time Updates**: Live sentiment data from merged data sources Supported Instruments Major Indices - S&P 500, NASDAQ, Dow Jones 30, DAX Forex Pairs - Major pairs: EURUSD, GBPUSD, USDJPY, USDCHF, USDCAD - Cross pairs: EURJPY, GBPJPY, AUDUSD, NZDUSD, and 20+ others Commodities - Precious metals: Gold (XAUUSD), Silver (XAGUSD) - Energy: WTI Oil - Agricultural: Wheat, Coffee - Industrial: Copper Cryptocurrencies - Bitcoin (BTC) sentiment data - BTC & SNN Fear & Greed indices How to Use 1. **Auto Mode** (Default): Enable "Auto-load Sentiment Data" to automatically display sentiment for the current chart symbol 2. **Manual Mode**: Disable auto-load and select from the dropdown menu for specific instruments 3. **Interpretation**: - Values above 0 (green) indicate retail greed/bullish sentiment - Values below 0 (red) indicate retail fear/bearish sentiment - Fear & Greed indices use 0-100 scale (50 is neutral) Data Sources This indicator uses curated sentiment data from retail CFD providers and established fear/greed indices. Data is updated regularly and sourced from reputable financial data providers. Trading Strategy & Market Philosophy Contrarian Trading Approach The primary purpose of this indicator is based on the fundamental market principle that **the majority of retail investors are often wrong**, and markets typically move opposite to the positions held by the majority of market participants. Key Strategy Guidelines: - **Contrarian Signal**: When the majority of users are positioned on one side of the market, there is statistically greater market advantage in taking positions in the opposite direction - **Trend Exhaustion Signal**: An interesting observed phenomenon occurs when, during a long-lasting trend where the majority of investors have consistently been on the wrong side, the Sentiment indicator suddenly shows that the majority has flipped and opened positions in the direction of that long-running trend. This is often a signal of fuel exhaustion for further movement in that direction Interpretation Examples - High greed readings (majority bullish) → Consider bearish opportunities - High fear readings (majority bearish) → Consider bullish opportunities - Sudden sentiment flip during established trends → Potential trend reversal signal Technical Notes - Built with PineScript v6 - Dynamic symbol detection with fallback options - Optimized for performance with minimal resource usage - Color-coded visualization with customizable zones Data Sources & Expansion Acknowledgments We extend our gratitude to **TradingView** for enabling the use of custom data feeds based on GitHub repositories, making this comprehensive sentiment analysis possible. Data Expansion Opportunities As the operator of this indicator, I am **open to suggestions for new data sources** that could be integrated and published. If you have ideas for additional instruments or sentiment data: How to Submit Suggestions: 1. Send a **private message** with your proposal 2. Include: **instrument/data type**, **source**, and **brief description** 3. If technically feasible, we will work to import and publish the data Data Infrastructure Status Current Data Upload Process: Please note that sentiment data uploads may occasionally experience minor interruptions. However, this should not pose significant issues as sentiment data typically changes gradually rather than rapidly. Infrastructure Development: We are actively working on establishing permanent cloud-based infrastructure to ensure continuous, automated data collection and upload processes. This will provide more reliable and consistent data availability in the future. Disclaimer This indicator is for educational and informational purposes only. Sentiment data should be used as part of a comprehensive trading strategy and not as the sole basis for trading decisions. Past performance does not guarantee future results. The contrarian approach described is a market theory and may not always produce profitable results.
Indikator Pine Script®
oleh OpenTrading_ai
On-Chain Metrics & Z-Mode SelectionThis indicator provides an on-chain metric analysis framework for cryptocurrencies (currently limited to) BTC and ETH; allowing users to select from popular metrics such as SOPR, Profit Addresses %, NUPL, or MVRV. It enables various analyses on the chosen metric to capture momentum and rate of change dynamics over time. Analyses include: Normalization techniques utilizing Mean or Median with standard deviation, as well as a 'Robust' method using interquartile range-based Z-scoring to accommodate skewed distributions, or raw values without normalization. An optional differential calculation that highlights the rate of change (first derivative) of the metric. Moving average smoothing with up to two passes, supporting EMA, SMA, or WMA types. Optional sigmoid-based compression that scales and centers the indicator output, improving interpretability, mitigating extreme outliers, and allowing the user to scale the output so that the step size or increment of the long and short thresholds remains within a workable range. Buy and sell signals are generated based on configurable long and short thresholds applied to the processed output. Visual components such as trend colouring, threshold lines, background shading, and labels make it simple for traders to identify entry signals. This indicator is suitable for those looking to integrate blockchain behavioral insights into their trading decisions. Overall, this script transforms complex on-chain data into actionable trade signals by combining adaptive normalization and smoothing techniques. Its versatility and multi-metric support make it a valuable tool for both market monitoring and strategy development. No financial decisions should be made based solely on this indicator. Always conduct your own research. . Acknowledgements Inspiration drawn from: CipherDecoded
Indikator Pine Script®
oleh Conradious
BTC Sigma CloudOverview The BTC Sigma Cloud indicator calculates and displays 1, 2, and 3 sigma price movements for Bitcoin (BTC) on a rolling basis, visualized as a cloud. It shows historical volatility bands and projects them forward for the next 7 days. Settings: Vol Lookback: Default is 20 periods. Adjust to change the volatility calculation window. Interpretation: Cloud Bands: The cloud consists of three shaded layers representing 1σ, 2σ, and 3σ moves above and below the current price. 1σ (Innermost): 68% probability of price staying within this range. 2σ (Middle): 95% probability. 3σ (Outermost): 99.7% probability. Historical View: The cloud tracks past price movements based on volatility. Projection: The cloud extends 7 days forward, indicating potential price ranges based on current volatility. Labels: Subtle labels (1σ, -1σ, 2σ, -2σ, 3σ, -3σ) mark the upper and lower bounds of each sigma level on the latest bar for clarity. Trading Use: Use the cloud to gauge potential support/resistance zones. Monitor price behavior near sigma levels for breakout or reversal signals. The projected cloud helps anticipate future price ranges for planning trades. Notes Best used on daily charts for Bitcoin. Adjust the lookback period to suit shorter or longer-term analysis. Combine with other indicators for confirmation.
Indikator Pine Script®
oleh ProfessorSatoshi
PPP – Info Table (Anchor + Corr/Alpha/Beta) v3PPP – Info Table (Anchor + Corr/Alpha/Beta) - By P3 Analytics, run by Puranam Pradeep Picasso Sharma 🔎 Overview This indicator creates a clean, dynamic information table on your chart that lets you quickly analyze how your chosen asset is performing relative to BTC, ETH, or any other benchmarks. With a single glance, you can see: % change from today’s open (for the anchor asset, BTC, and ETH) Previous day % change (self + benchmarks) Correlation, Beta, and Alpha statistics for the selected window (1W, 1M, 1Y) Anchor values at any bar you choose (via Bars Back or Anchor Time) Perfect for traders who want to measure coin strength vs benchmarks and make better rotation, risk, or hedging decisions. 📊 Key Metrics Correlation (Corr): How closely the asset moves with the benchmark. +1 = moves together, 0 = no relation, -1 = moves opposite. Beta (β): Sensitivity of returns vs the benchmark. β = 1 → moves 1:1 with BTC. β > 1 → more volatile (amplifies BTC moves). β < 1 → less volatile (defensive). Alpha (α): Excess return beyond what Beta predicts. Positive α = outperforming benchmark-adjusted expectation. Negative α = underperforming. ⚙️ Features Flexible Anchor Mode: Bars Back → quickly step through bars. Time → pin analysis to a specific historical candle. Customizable Benchmarks: Default BTC & ETH (futures), but replaceable with any ticker. Adjustable Stats Window: 1 Week, 1 Month, 1 Year (auto-scales if using chart timeframe). Compact Mode for a smaller table layout. Dark/Light Theme, font size, corner placement, transparency, and decimal control. Runs efficiently with minimal chart clutter. 🧑‍💻 About P3 Analytics This indicator is developed under P3 Analytics, a research & trading technology initiative led by Puranam Pradeep Picasso Sharma. P3 Analytics builds tools that merge machine learning, statistics, and trading strategy into accessible products for traders across crypto, equities, forex, and commodities. ✅ How to Use Add indicator to your chart. In settings: Pick your benchmarks (default = BTCUSDT.P, ETHUSDT.P). Choose your anchor (Bars Back or Time). Set window length for correlation/alpha/beta. Read the table: Left side = your asset. Right side = benchmarks. Colors: Green = positive % change, Red = negative. 🚀 Why Use This? Quickly compare your asset vs BTC/ETH without juggling multiple charts. Spot whether a coin is truly leading or just following BTC. Identify outperformance (alpha) coins for rotation or trend plays. Manage risk by knowing which assets are high beta (high leverage-like moves). ✦ Indicator by P3 Analytics ✦ Created & published by Puranam Pradeep Picasso Sharma
Indikator Pine Script®
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